Sumit Nautiyal

@askOkara A founder talking directly to users will usually outperform a perfectly polished marketing engine at the early stage. Context beats cosmetics.

things that don't work for early-stage startups: > broad awareness campaigns > billboards and podcasts > focusing on too many platforms > trying a channel for a week and giving up things that do: > showing up daily on 1-2 channels > talking directly to potential users > building in public > founder-led content

@tszzl If your agents solve your tasks and your struggle for recognition, we’ve officially moved from SaaS into existential infrastructure.

i hope by the time I get home, my agents have solved all of my problems, and generally achieved my struggle for recognition in the Hegelian sense

@yacineMTB Cool part is the tech disappears. You stop noticing the model and start focusing on the thinking it unlocks.

/goal optimize this code, use `date` to check the time and don't stop until I wake up at 7 am

Multi-agent coding just crossed a threshold. Claude Code's new Agent View shows every session live what's running, what's blocked, what's done. You reply inline to unblock. No tab-switching. No lost context. Full transcripts on demand. Then pair it with the new /goal command: "Deploy when tests pass 95%." That's it. The agent owns it across interactive, scripted, and remote modes, while you watch from a single pane. We went from prompting assistants → managing pipelines. That's not a feature drop. That's a different category of tool. The gap between AI coding assistants and AI engineering infrastructure just got a lot smaller.

@yacineMTB The gap I’m seeing isn’t intelligence. It’s operational imagination. Some people see a chatbot, others see an execution layer.

You have to have a very high IQ to use AI to it's maximum potential

@claudeai This is the kind of announcement GTM teams should pay attention to. Easier deployment usually means faster internal adoption curves.

The Claude Platform on AWS is now generally available. AWS customers get the full set of Claude API features, with AWS authentication, billing, and commitment retirement.

@sama Feels like security teams are about to get their own version of autopilot.

OpenAI is launching Daybreak, our effort to accelerate cyber defense and continuously secure software. AI is already good and about to get super good at cybersecurity; we'd like to start working with as many companies as possible now to help them continuously secure themselves.

@claudeai The tmux comparison is apt, but this goes further session state, block reasons, and inline replies in one view. Pair that with /goal and you're not micromanaging an agent anymore, you're supervising a pipeline. Meaningful shift.⚡️

New in Claude Code: agent view. One list of all your sessions, available today as a research preview.

@rezoundous The real shift is less about ‘knowing’ and more about reducing the gap between question and reliable answer.

GPT-5.5 just knows, bro. It knows.

Good GTM teams don’t just generate leads. They notice timing.

@systems_pankaj This is the kind of workflow that quietly outperforms teams doing 10x more activity.

The Clay → n8n → CRM pipeline nobody talks about: 1. Clay finds accounts with intent signals 2. n8n enriches + filters by ICP criteria 3. Your sequencer only gets the top 50 4. CRM auto-updates with signal context Zero manual work. Maximum signal quality. What's your current enrichment-to-outreach workflow?

@icanvardar At this point the model finishes the task before I finish explaining it

gpt 5.5 is actually insanely fast

@chatgpt21 The anti-hallucination part is underrated. Intelligence is useful, but trust is what actually drives deep adoption.

I can’t get over the fact that a dramatic upgrade in all around intelligence, jaggedness and anti hallucinogenic behavior would genuinely be life-changing GPT 6, if actually a big and non-incremental upgrade something of the order of 20% better in all tasks compared to GPT 5.5 would genuinely make me so unbelievably reliant on it

The 5-minute GTM prep for the week: 1. What's the #1 signal I'm acting on Monday? 2. Which stalled deals need a trigger-based touch? 3. What ICP accounts are showing intent right now? 4. Where is my biggest pipeline risk? 5. What did this week's data tell me I didn't expect? Answers to these 5 questions beat any amount of meeting prep. What's your #1 priority for Monday morning?

@gdb Interesting shift happening right now. The best agents don’t just answer questions, they remove entire layers of operational work

agents make for a surprisingly great product

@sama @icanvardar Every new model shifts the conversation from “can it do this?” to “how much of the workflow disappears now?

@icanvardar curious to see if you still feel this way after the next model!

gpt 5.5 is already enough for most programming work the bottleneck is no longer the model

@claudeai Context continuity is the real feature here. AI becomes way more useful once it remembers the workflow, not just the prompt.

Claude for Excel, PowerPoint, and Word are now generally available, and Claude for Outlook is in public beta. As Claude moves between your Microsoft apps, it carries the full context of your conversation.

@sama Interesting part is how this changes behavior. People stop “prompting” and start thinking out loud with AI instead.

people are really starting to use voice to interact with AI, especially when they have a lot of context to dump. GPT-Realtime-2 comes to the API today; it is a pretty big step forward. (we are working on improvements to voice in chat.)

@OpenAI We went from “AI can answer” to “AI can participate.” That’s a much bigger platform shift than most people realize.

Introducing GPT-Realtime-2 in the API: our most intelligent voice model yet, bringing GPT-5-class reasoning to voice agents. Voice agents are now real-time collaborators that can listen, reason, and solve complex problems as conversations unfold. Now available in the API alongside streaming models GPT-Realtime-Translate and GPT-Realtime-Whisper — a new set of audio capabilities for the next generation of voice interfaces.

@systems_pankaj Most teams overcomplicate it. These 3 are the core.

@sumitrunsai High-quality data infrastructure AI-powered personalization workflows A repeatable outbound system With those 3, you can rebuild pipeline surprisingly fast.

Simple question for your weekend: If your entire GTM motion disappeared tomorrow and you could only rebuild with 3 things What are the 3? Drop them below.